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Atmospheric-Turbulence-Degraded Astronomical Image Restoration by Minimizing Second-Order Central Moment

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5 Author(s)
Luxin Yan ; Nat. Key Lab. of Sci. & Technol. on Multispectral Inf. Process., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Mingzhi Jin ; Houzhang Fang ; Hai Liu
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Atmospheric turbulence affects imaging systems by virtue of wave propagation through a medium with a nonuniform index of refraction. It can lead to blurring in images acquired from a long distance away. In this letter, it is observed that blurring increases the second-order central moment (SOCM) of images, and we introduce a new parametric blur identification method by minimizing SOCM. The method applies to finite-support images, in which the scene consists of a finite-extent object against a uniformly black, gray, or white background. The SOCM method has been validated by direct comparisons with other methods on simulated and real degraded images.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:9 ,  Issue: 4 )